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A Method to Investigate Within-Field Variation of the Response of Combinable Crops to an Input

Silsoe Res. Inst., Wrest Park, Silsoe, Bedford, UK MK45 4HS

View larger version (11K): [in a new window]   Fig. 1. Notional probability distribution for transition times for a grain from cutter bar to flow sensor. The time shift ts and the dispersion of this process (the variability of the transition times) are illustrated.

View larger version (10K): [in a new window]   Fig. 2. Normalized weights, w'zi, in the discrete linear filter (see Eq. [22]). The position along the path relative to the nominal position of a yield datum is denoted by zi (m).

View larger version (9K): [in a new window]   Fig. 3. Correlation () between monitor yields Y(x) and filtered transformed N rate *n(x) for different values of the response function parameter R (see Eq. [8]). Note that there are many data points that are not shown for neatness. The graph is formed by a straight line joining each point.

View larger version (11K): [in a new window]   Fig. 4. Overall response function fitted using (bold line) monitor yields Y(x) and filtered transformed N rate *n(x) and (thin line) monitor yields Y(x) and nominal N rate n(x).

View larger version (65K): [in a new window]   Fig. 5. Local optimum N rate at grid nodes across Bypass field. The coordinates are in meters and are relative to the datum of the United Kingdom Ordnance Survey.

View larger version (13K): [in a new window]   Fig. 6. Histogram of bootstrapped estimates of the standard deviation of the b parameter, Sb, under the null hypothesis for grid nodes on Bypass field. The standard deviation of the b values fitted to the experimental data was 0.69; this value is indicated on the abscissa by the impulse symbol (arrow).